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Agent skill

Detecting Performance Regressions

by foryourhealth111-pixel in foryourhealth111-pixel/Vibe-Skills

Compare current benchmark results against historical baselines to spot performance regressions.

MITAuto-check passedDevelopment

Install Detecting Performance Regressions

skills CLI
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill detecting-performance-regressions -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install foryourhealth111-pixel/Vibe-Skills detecting-performance-regressions --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/bundled/skills/detecting-performance-regressions .claude/skills/detecting-performance-regressions && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
detecting-performance-regressions
GitHub stars
3.6k
Token cost
~355 tokens
SKILL.md length
98 words
Files
7 (incl. scripts, references, assets)
Skills in repo
81
Repo updated
First seen
Licence
MIT

At a glance

Compare current benchmark results against historical baselines to spot performance regressions.

  • Development work in your project
  • SKILL.md covers Positioning, When to Use, Not For / Boundaries and Typical Outputs, plus 1 more section
  • Runs Python scripts from its folder

What it does

Detecting Performance Regressions is an agent skill from foryourhealth111-pixel/Vibe-Skills. Compare current benchmark results against historical baselines to spot performance regressions. Use as an explicit/manual helper for build-to-build degradation review, not for broad optimization strategy or low-level profiling ownership.

Its SKILL.md is about 360 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts, reference files and assets (for example `assets/README.md`, `references/README.md` and `scripts/README.md`).

It sits in Development. The repository describes itself as: Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE. The licence is MIT.

When your agent uses it

  • Development work in your project

Example prompts

  • “/detecting-performance-regressions”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(ci:*), Bash(metrics:*), Bash(testing:*)

What it can do on your machine

Read from SKILL.md and the folder at commit ddcaa2a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Grep
    • Glob
    • Bash(ci:*)
    • Bash(metrics:*)
    • Bash(testing:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 4 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Detecting Performance Regressions loads about 355 tokens when it runs, and up to ~487 if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 98 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~355
With references · SKILL.md plus every file in references/, read only if the agent opens them
~487

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from foryourhealth111-pixel/Vibe-Skills at commit ddcaa2a, republished under its MIT licence (© foryourhealth111-pixel). 98 words, ~355 tokens.

Download SKILL.mdSave it as .claude/skills/detecting-performance-regressions/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
detecting-performance-regressions
description
Compare current benchmark results against historical baselines to spot performance regressions. Use as an explicit/manual helper for build-to-build degradation review, not for broad optimization strategy or low-level profiling ownership.
allowed-tools
Read, Write, Edit, Grep, Glob, Bash(ci:*), Bash(metrics:*), Bash(testing:*)
version
1.0.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>

Performance Regression Detector

Positioning

Treat this skill as an explicit/manual helper for benchmark comparison work.

When to Use

Use this skill when:

  • Identify performance regressions in a CI/CD pipeline.
  • Analyze performance metrics for potential degradation.
  • Compare current performance against historical baselines.

Not For / Boundaries

  • Broad optimization roadmap or tuning backlog: use providing-performance-optimization-advice
  • Root-cause debugging of a specific slow path: use systematic-debugging
  • General test artifact packaging without regression judgment: use generating-test-reports

Typical Outputs

  • A baseline-vs-current regression summary
  • Severity-ranked regressed metrics
  • Follow-up questions for deeper profiling or investigation
  • performance-testing for benchmark generation
  • providing-performance-optimization-advice after the regression is confirmed

© foryourhealth111-pixel, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts, references, assets) in bundled/skills/detecting-performance-regressions of foryourhealth111-pixel/Vibe-Skills.

  • SKILL.md
  • assets/README.md
  • references/README.md
  • scripts/README.md
  • scripts/analyze_metrics.py
  • scripts/create_github_comment.py
  • scripts/generate_report.py

Open the folder on GitHubat commit ddcaa2a

Compare with similar skills

Detecting Performance Regressions next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Detecting Performance Regressions compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Detecting Performance Regressions this skillforyourhealth111-pixel/Vibe-Skills3.6k—~355Automated safety check: PassMIT
Vercel Composition Patternssupabase/supabase111k58 repos~726Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers297k5 repos~1.9kAutomated safety check: PassMIT
Typescript Advanced Typesrolling-scopes/rsschool-app10k25 repos~4.2kAutomated safety check: PassMPL-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k4 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Detecting Performance Regressions

What does Detecting Performance Regressions do?

Compare current benchmark results against historical baselines to spot performance regressions. Detecting Performance Regressions is an agent skill from foryourhealth111-pixel/Vibe-Skills. Compare current benchmark results against historical baselines to spot performance regressions.

When should I use Detecting Performance Regressions?

Detecting Performance Regressions fits situations like: development work in your project.

How do I install Detecting Performance Regressions in Claude Code?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill detecting-performance-regressions -a claude-code`. Or copy the skill folder (bundled/skills/detecting-performance-regressions in foryourhealth111-pixel/Vibe-Skills) into .claude/skills/detecting-performance-regressions in your project. Claude Code loads it when a task matches its description.

How do I install Detecting Performance Regressions in Codex?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill detecting-performance-regressions -a codex`. Or copy the skill folder (bundled/skills/detecting-performance-regressions in foryourhealth111-pixel/Vibe-Skills) into .agents/skills/detecting-performance-regressions in your project. Codex loads it when a task matches its description.

Can I use Detecting Performance Regressions in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill detecting-performance-regressions -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/detecting-performance-regressions, .gemini/skills/detecting-performance-regressions, .github/skills/detecting-performance-regressions and .opencode/skills/detecting-performance-regressions in your project.

What does Detecting Performance Regressions need to run?

Going by SKILL.md and its folder, Detecting Performance Regressions needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(ci:*), Bash(metrics:*), Bash(testing:*).

Does Detecting Performance Regressions access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Detecting Performance Regressions safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Detecting Performance Regressions use?

Detecting Performance Regressions is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Detecting Performance Regressions use?

About 355 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 132 tokens, read only when the agent opens those files.

What are the alternatives to Detecting Performance Regressions?

Skills that share tags, products or a category with Detecting Performance Regressions: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Detecting Performance Regressions?

foryourhealth111-pixel (a GitHub user) maintains it in foryourhealth111-pixel/Vibe-Skills, which has 3,627 GitHub stars. The repository holds 81 skills in this directory. The repository was last updated on August 31, 2026.

Source: foryourhealth111-pixel/Vibe-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.